The causalweight package for causal inference in R
Hugo Bodory and
No 493, FSES Working Papers from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland
We describe R package “causalweight” for causal inference based on inverse probability weighting (IPW). The “causalweight” package offers a range of semiparametric methods for treatment or impact evaluation and mediation analysis, which incorporates intermediate outcomes for investigating causal mechanisms. Depending on the method, identification relies on selection on observables assumptions or on instrumental variables when selection is on unobservables, approaches that may also be applied to tackle non-random outcome attrition and sample selection. Inference is based on the bootstrap.
Keywords: Treatment effect; selection on observables; sample selection; mediation analysis; instrumental variable; IPW (search for similar items in EconPapers)
JEL-codes: C21 (search for similar items in EconPapers)
Pages: 27 pages
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